arc-debugging

Guide systematic four-phase debugging to identify root causes before fixes.

6|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/GregoryHo/arcforge --skill arc-debugging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: arc-debugging
Source: https://github.com/GregoryHo/arcforge/tree/main/skills/arc-debugging
Command: npx skills add https://github.com/GregoryHo/arcforge --skill arc-debugging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the common issue of inefficient and ineffective debugging by enforcing a systematic, root-cause-driven approach, preventing the common pitfalls of "quick fixes" and symptom-based solutions.

Core Features & Use Cases

  • Systematic Root Cause Analysis: Guides users through a four-phase process to identify the fundamental reason for a bug before attempting any fixes.
  • Pattern Identification: Encourages finding and understanding similar working patterns to compare against the problematic code.
  • Hypothesis-Driven Testing: Promotes forming a single hypothesis and testing it with minimal changes.
  • Defensive Programming: Advocates for adding validation at multiple layers to make bugs impossible.
  • Use Case: When a critical test fails in CI, this Skill ensures the engineer doesn't just "patch" it but rigorously investigates to find the underlying architectural flaw or logic error, preventing recurrence.

Quick Start

Use the arc-debugging skill to investigate any test failures or bugs by following the four-phase process.

Frequently Asked Questions about arc-debugging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I systematically debug code to find the root cause instead of applying quick fixes?

To debug systematically, follow a four-phase process emphasizing error analysis, consistent reproduction, and evidence gathering. Form a single hypothesis and test it with minimal changes to identify the root cause before implementing fixes.

What is root cause analysis and when do I need it for troubleshooting software?

Root cause analysis is a troubleshooting method that identifies the fundamental reason for a bug rather than just treating symptoms. You need it when critical tests fail in CI to rigorously investigate underlying architectural flaws or logic errors, preventing recurrence.

How do I fix a bug in a multi-component system when I cannot easily reproduce the error?

Fix bugs in multi-component systems by consistently reproducing the error and gathering evidence across affected layers. Use pattern comparison against working code and condition-based waiting to pinpoint where the failure occurs before hypothesizing a fix.

What's the best way to troubleshoot persistent test failures that keep reoccurring after patches?

The best way to troubleshoot persistent test failures is to question the underlying architecture if multiple fixes fail. Apply root-cause-tracing and add defensive validation at multiple layers to make the specific bug impossible rather than patching symptoms.

Why does my debugging approach fail to prevent bugs from reappearing in my codebase?

Debugging fails to prevent recurring bugs when it relies on symptom-based solutions or quick patches. Implementing a systematic approach with hypothesis testing and minimal changes ensures you resolve the fundamental logic error rather than masking it.